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Taylor Pippen

Software Engineer

Building data-driven tools for decision science.

I'm a Mechanical Engineering student at Virginia Tech with a CS minor, graduating December 2025. I got into programming through robotics and never looked back. These days I spend most of my time building full-stack applications and working with data.

Right now I'm a research intern at Noblis working on multi-robot coordination algorithms. On the side, I've been building this baseball analytics platform to learn modern web development and explore ML applications in sports. It started as a way to collect Statcast data locally and turned into a full-stack app with pitcher similarity models and clustering analysis.

I like solving problems that sit at the intersection of software and real-world systems, whether that's autonomous robots, baseball analytics, or something else entirely.

Experience

Noblis

Jan 2025 - Present

Robotics Research Intern — Autonomous Systems Research Center

Building Python simulation frameworks for multi-robot coordination research, with a focus on decentralized task allocation algorithms and trust-aware decision making.

  • Architected Python simulation framework for decentralized multi-robot task allocation with database-backed state management for reproducible algorithm testing
  • Designed extensible research platform enabling future RL algorithm integration to optimize utility functions for heterogeneous robot coordination
  • Developed trust-aware allocation algorithms integrating capability metrics into cost functions for autonomous task assignment without centralized control
  • Primary author of research paper demonstrating proof-of-concept for trust-based coordination, contributing novel approaches to multi-robot task allocation literature
  • Validated framework through simulation testing with 6-robot+ heterogeneous teams across 3 capability profiles

Relevance: The simulation framework development and algorithm design skills translate directly to baseball analytics—building reproducible data pipelines, designing systems that handle heterogeneous data sources, and developing models that optimize decision-making under uncertainty.

Education

Virginia Tech

Bachelor of Science in Mechanical Engineering

Class of Dec 2025

Computer Science Minor

Projects

Machine Learning Coursework

View Course Repo

Hands-on ML course at Virginia Tech following a "build first, understand later" approach.

Course materials and projects available in the linked repository.

Coursework
KNN & ClassificationLinear & Logistic RegressionDecision TreesK-Means ClusteringPCANeural NetworksCNNsRNNs & Language ModelsTransformersEnsemble MethodsRegularization

Awards

Grade 3B World Champions (2018)

Pasadena Scottish Pipes and Drums — Glasgow, Scotland

Eagle Scout

Troop 446 — Covina, CA